Description Usage Arguments Value Note Author(s)

Runs calculations for a more simple version of a VPC where typically, within each bin, the 5th, 50th and 95th percentiles of the experimental data are calculated along with the central 90% range of the simulated data (90% prediction interval). Calculations are run as non-prediction-corrected and prediction-corrected.

1 2 3 | ```
calc_rng_VPC(exp_data, sim_data, bins, dv_col = "DV", ind_var_col = "TAD",
exp_quantiles = c(0.05, 0.5, 0.95), prediction_interval = 90,
min_bin_width = 0.5)
``` |

`exp_data` |
data frame containing experimental data. |

`sim_data` |
data frame containing all simulated data. |

`bins` |
vector of limits of the time bins. |

`dv_col` |
name of column containing DV, for both exp_data and sim_data. |

`ind_var_col` |
name of column containing independent variable (e.g. TAD or TIME), for both exp_data and sim_data. |

`exp_quantiles` |
vector of required quantiles of experimental DV in each bin. |

`prediction_interval` |
numeric. Percentage size of prediction interval calculated around all data in each bin of simulated data. |

`min_bin_width` |
numeric. Width of the smallest possible unrestricted bin (bins will be restricted in width by neighbouring bins). It can be adjusted to improve the look of the VPC plot. |

A list containing all necessary range VPC parameters to be used in plot_rng_VPC function.

This function has not been designed for bins containing zero points, and may fail or produce strange results if zero points are detected.

Rupert Austin

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